Skip to main content

Module to facilitate the integration of a sklearn training pipeline into a deploy and retraining system

Project description

Module to facilitate the integration of a sklearn training pipeline into a deploy and retraining system

Install

pip install gpam_training

Usage

Multilabel training

First of all, it is needed to have in memory a dataframe from pandas. The csv must be in the following format:

process_id,page_text_extract,tema
1,Lorem ipsum dolor sit amet,1
2,Lorem ipsum dolor sit amet,2
2,Lorem ipsum dolor sit amet,3
42,Lorem ipsum dolor sit amet,2

To train the model, do as shown bellow:

from gpam_training import MultilabelTraining
import pandas as pd

df = pd.read_csv('example.csv')
model = MultilabelTraining(df)
model.train()

To dump a pickle file with the trained model, do the following:

model_pickle = model.get_pickle()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gpam_training-0.0.16.tar.gz (876.2 kB view hashes)

Uploaded Source

Built Distribution

gpam_training-0.0.16-py2.py3-none-any.whl (15.1 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page